Coding
Directional only- Claude 3.5 Sonnet
- 49.0
- Qwen3.5-35B-A3B
- 60.6
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Claude 3.5 Sonnet vs Qwen3.5-35B-A3B
Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Qwen3.5-35B-A3B has the higher public score estimate, 55.97 versus 47.34, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
2 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Qwen3.5-35B-A3B
Qwen3.5-35B-A3B has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude 3.5 Sonnet does not fit this workload in one request. Claude 3.5 Sonnet has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5-35B-A3B has no comparable published API token rate.
Confidence: rate-fallback
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 Claude 3.5 Sonnet only
2 Shared
14 Qwen3.5-35B-A3B only
- Shared results
- 2
- Claude 3.5 Sonnet only
- 2
- Qwen3.5-35B-A3B only
- 14
- Like-for-like categories
- 0 / 8
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Knowledge
Directional only- Claude 3.5 Sonnet
- 59.4
- Qwen3.5-35B-A3B
- 81.6
- Weighted basis
- 1 vs 3 rows
- Reading
- Directional only
Agentic
Not comparable- Claude 3.5 Sonnet
- Not measured
- Qwen3.5-35B-A3B
- 51.0
- Weighted basis
- 0 vs 3 rows
- Reading
- Not comparable
Reasoning
Not comparable- Claude 3.5 Sonnet
- Not measured
- Qwen3.5-35B-A3B
- 59.0
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- Claude 3.5 Sonnet
- 1.6
- Qwen3.5-35B-A3B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude 3.5 Sonnet
- Not measured
- Qwen3.5-35B-A3B
- 81.0
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude 3.5 Sonnet
- Not measured
- Qwen3.5-35B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude 3.5 Sonnet
- Not measured
- Qwen3.5-35B-A3B
- 91.9
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | Claude 3.5 Sonnet | Qwen3.5-35B-A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 49.0 | 60.6 | Directional only1 vs 2 rows | Directional only |
| Knowledge | 59.4 | 81.6 | Directional only1 vs 3 rows | Directional only |
| Agentic | Not measured | 51.0 | Not comparable0 vs 3 rows | Not comparable |
| Reasoning | Not measured | 59.0 | Not comparable0 vs 1 rows | Not comparable |
| Math | 1.6 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Multilingual | Not measured | 81.0 | Not comparable0 vs 1 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | 91.9 | Not comparable0 vs 1 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
GPQA
Knowledge
Claude 3.5 Sonnet: 59.4%Qwen3.5-35B-A3B: 84.2%Normalized gap 24.8Claude 3.5 Sonnet source Qwen3.5-35B-A3B sourceSWE-bench Verified
Coding
Claude 3.5 Sonnet: 49%Qwen3.5-35B-A3B: 69.2%Normalized gap 20.2Claude 3.5 Sonnet source Qwen3.5-35B-A3B source
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Claude 3.5 Sonnet
- $0.0105
- Fits in one request
- Qwen3.5-35B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Qwen3.5-35B-A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Claude 3.5 Sonnet
- $0.195
- Fits in one request
- Qwen3.5-35B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Qwen3.5-35B-A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude 3.5 Sonnet
- $0.81
- Does not fit in one request
- Cached input priced at the published list-input rate
- Qwen3.5-35B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Claude 3.5 Sonnet does not fit this workload in one request. Claude 3.5 Sonnet has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5-35B-A3B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationClaude 3.5 SonnetQwen3.5-35B-A3B
Context window
Maximum documented context; output-token limits may be lower.
Claude 3.5 Sonnet
200K
Qwen3.5-35B-A3B
262K
API model ID
Claude 3.5 Sonnet
Not sourced
Qwen3.5-35B-A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude 3.5 Sonnet
Not published
Qwen3.5-35B-A3B
No comparable hosted API rate
Documented inputs
Claude 3.5 Sonnet
Not sourced
Qwen3.5-35B-A3B
Not sourced
Documented outputs
Claude 3.5 Sonnet
Not sourced
Qwen3.5-35B-A3B
Not sourced
Provider availability
Claude 3.5 Sonnet
Not sourced
Qwen3.5-35B-A3B
Not sourced
Reasoning profile
Claude 3.5 Sonnet
Non-Reasoning
Qwen3.5-35B-A3B
Reasoning
Weight access
Claude 3.5 Sonnet
Proprietary
Qwen3.5-35B-A3B
Open Weight
License
Claude 3.5 Sonnet
Proprietary
Qwen3.5-35B-A3B
Open Weight
Release date
Claude 3.5 Sonnet
2024-06-01
Qwen3.5-35B-A3B
2026-03-04
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- Qwen3.5-35B-A3B has the higher public score estimate, 55.97 versus 47.34, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Qwen3.5-35B-A3B has the larger documented window (262K).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence18 rows
Agentic
Terminal-Bench 2.0
Claude 3.5 Sonnet—Qwen3.5-35B-A3B40.5%SourceNot directly comparable
BrowseComp
Claude 3.5 Sonnet—Qwen3.5-35B-A3B61%SourceNot directly comparable
OSWorld-Verified
Claude 3.5 Sonnet—Qwen3.5-35B-A3B54.5%SourceNot directly comparable
Gert Labs
Claude 3.5 Sonnet—Qwen3.5-35B-A3B28.96%SourceNot directly comparable
Coding
Reasoning
LongBench v2
Claude 3.5 Sonnet—Qwen3.5-35B-A3B59%SourceNot directly comparable
Knowledge
Math
Multilingual
MMLU-ProX
Claude 3.5 Sonnet—Qwen3.5-35B-A3B81%SourceNot directly comparable
Multimodal
Instruction following
IFEval
Claude 3.5 Sonnet—Qwen3.5-35B-A3B91.9%SourceNot directly comparable
Frequently asked questions
Which is better, Claude 3.5 Sonnet or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has the higher public score estimate, 55.97 versus 47.34, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Claude 3.5 Sonnet or Qwen3.5-35B-A3B?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Claude 3.5 Sonnet or Qwen3.5-35B-A3B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Claude 3.5 Sonnet or Qwen3.5-35B-A3B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Claude 3.5 Sonnet or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has the larger documented context window: 262K, compared with 200K.
Related comparisons
Last updated August 13, 2026
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